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A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography

Overview of attention for article published in Agricultural & Forest Meteorology, September 2017
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Mentioned by

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1 Facebook page

Citations

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9 Dimensions

Readers on

mendeley
37 Mendeley
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Title
A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography
Published in
Agricultural & Forest Meteorology, September 2017
DOI 10.1016/j.agrformet.2017.04.010
Authors

Maoya Bassiouni, Martha A. Scholl, Angel J. Torres-Sanchez, Sheila F. Murphy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 5 14%
Student > Master 4 11%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 6 16%
Unknown 10 27%
Readers by discipline Count As %
Environmental Science 7 19%
Earth and Planetary Sciences 7 19%
Agricultural and Biological Sciences 4 11%
Computer Science 3 8%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2017.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Agricultural & Forest Meteorology
#2,172
of 2,256 outputs
Outputs of similar age
#285,963
of 325,409 outputs
Outputs of similar age from Agricultural & Forest Meteorology
#16
of 17 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,256 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.